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laurabronner's profile
Laura Bronner
Laura Bronner
Laura Bronner
@laurabronner

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Laura Bronner

@laurabronner

Quantitative Editor, @FiveThirtyEight | PhD, @LSEGovernment | 🇦🇹 in 🇺🇸, via 🇬🇧 | she/her

New York, NY
laurabronner.com
Joined August 2015

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    Laura Bronner‏ @laurabronner 1 Aug 2019

    A quick summary of the second debates, in five charts, with @annette_choi, @erin_dohh and @juruwolfe: https://fivethirtyeight.com/features/the-second-democratic-debate-in-5-charts/ … One notable thing: the correlation between polling average and speaking time got a lot stronger this time around -- 0.94 compared to 0.64 last time.pic.twitter.com/S9IXHVUQP7

    2:11 PM - 1 Aug 2019
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    • ((( Reformed Russian Bot ))) Bruce le parisien ute fan ærį Hagamablabla bruckbruckbruck Lenny Bronner Lan Pham andrea bronner Yasmin R. Aslam
    10 replies 24 retweets 81 likes
      1. New conversation
      2. Laura Bronner‏ @laurabronner 1 Aug 2019

        Top words spoken by each candidate. Note "women" for Gillibrand and "fact" for Biden; otherwise, though, lots of mentions of "president", "healthcare", and "people".pic.twitter.com/JpM23b191i

        2 replies 3 retweets 11 likes
        Show this thread
      3. Laura Bronner‏ @laurabronner 1 Aug 2019

        If we look at the most distinctive words for each candidate, though, other interesting things pop out, including Delaney talking about "impossible promises", Warren saying "fight", Harris discussing "access to healthcare", and Ryan mentioning "union members".pic.twitter.com/4Ka85aLtrF

        1 reply 2 retweets 8 likes
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      4. Laura Bronner‏ @laurabronner 1 Aug 2019

        Gabbard, O'Rourke and Hickenlooper brought up their home states. Gillibrand talked about women working outside the home. Inslee was proud of his record. Sanders brought up Canada. And Biden made frequent use of both "in fact" and "the fact is".

        3 replies 0 retweets 4 likes
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      5. End of conversation
      1. New conversation
      2. Kennan‏ @VeveJones007 1 Aug 2019
        Replying to @laurabronner @NateSilver538 and

        Result of much more strict moderation on the part of CNN

        1 reply 0 retweets 0 likes
      3. Avi Krishna‏ @krishna_avi 1 Aug 2019
        Replying to @VeveJones007 @laurabronner and

        Their moderation still was kinda bad though because they tried to make this reality TV instead of actual debates

        4 replies 0 retweets 3 likes
      4. 1 more reply
      1. DChristo‏ @JohnnySportcoat 1 Aug 2019
        Replying to @laurabronner @NateSilver538 and

        Isn’t that because, by the rules, every time Biden got called out by name, he got a bonus 30 seconds to stutter a stream of nonsense?

        0 replies 0 retweets 1 like
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      1. Brendan Thomason‏ @bthomason 1 Aug 2019
        Replying to @laurabronner @NateSilver538 and

        I assume this is, at least in part, because candidates were attacking the front runners

        0 replies 0 retweets 0 likes
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      1. stevej‏ @stevejosephson 1 Aug 2019
        Replying to @laurabronner @annette_choi and

        Any chance you could do a log-transform on these? Both axes vary over an order of magnitude, also bunch up in the low numbers.

        0 replies 0 retweets 0 likes
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      1. SamCat‏ @SamCat60 1 Aug 2019
        Replying to @laurabronner @NateSilver538 and

        Not everything should be reduced to a number. How many words they got in? Come on.

        0 replies 0 retweets 0 likes
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      1. Dan‏ @dbpotter 1 Aug 2019
        Replying to @laurabronner @NateSilver538 and

        Thanks for posting. I had expected it to be the other way around.

        0 replies 0 retweets 0 likes
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